We live in a three-dimensional world. Modelling and processing 3D information is an important task in computer graphics and many other fields such as science, engineering, and architecture.
The group works on fundamental techniques for 3D geometry processing including acquisition, registration, segmentation, optimisation, as well their real-world applications.
The group collaborates with the Welsh School of Architecture on the research and education of Computational Methods in Architecture.
Aims
- Attracting PhD students and research funding
- Facilitating cooperation with research groups and organisations outside the School of Computer Science and Informatics
Research
Our research deals with two broad areas:
3D modelling and geometry processing techniques:
- 3D acquisition
- 3D reconstruction
- surface parameterisation
- shape registration
- shape analysis
- 3D shape retrieval and indexing
- data-driven modelling
- procedural generation
- numerical optimisation
- mesh processing.
Applications of geometric computing:
- 3D printing
- CNC machining
- virtual and augmented reality
- reverse engineering
- robotics
- architectural design
- computer animation.
Projects
Project name: Deep Representations for Analysis and Reconstruction of 3D Shapes with Complex Structure and Rich Details
Funded by: Royal Society
Principal Investigator: Yukun Lai
Project name: Perceptual shape optimisation for 3D printing
Funded by: Royal Society
Principal Investigator: Yukun Lai
Project name: Computing canonical forms from collections of 3D models
Funded by: Royal Society
Principal Investigator: Paul Rosin
Project name: Efficient multi-resolution design for constraint-based modelling
Funded by: Royal Society
Principal Investigator: Bailin Deng
Meet the team
Lead researcher
Academic staff
Publications
- Qiao, Y. et al., 2022. Learning on 3D meshes with laplacian encoding and pooling. IEEE Transactions on Visualization and Computer Graphics 28 (2), pp.1317-1327. (10.1109/TVCG.2020.3014449)
- Yang, S. et al., 2020. Noise-resilient reconstruction of panoramas and 3D scenes using robot-mounted unsynchronized commodity RGB-D cameras. ACM Transactions on Graphics 39 (5) 152. (10.1145/3389412)
- Gao, L. et al., 2019. SDM-NET: deep generative network for structured deformable mesh. ACM Transactions on Graphics 38 (6) 243. (10.1145/3355089.3356488)
- Zhang, J. et al., 2019. Accelerating ADMM for efficient simulation and optimization. ACM Transactions on Graphics 38 (6) 163. (10.1145/3355089.3356491)
- Gao, L. et al., 2018. Automatic unpaired shape deformation transfer. ACM Transactions on Graphics 37 (6) 237. (10.1145/3272127.3275028)
- Peng, Y. et al., 2018. Anderson acceleration for geometry optimization and physics simulation. ACM Transactions on Graphics 37 (4) 42. (10.1145/3197517.3201290)
- Gao, L. et al., 2016. Efficient and flexible deformation representation for data-driven surface modeling. ACM Transactions on Graphics 35 (5) 158. (10.1145/2908736)
- Konaković, M. et al., 2016. Beyond developable: computational design and fabrication with auxetic materials. ACM Transactions on Graphics 35 (4) 89. (10.1145/2897824.2925944)
- Qin, Y. et al. 2016. Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation. ACM Transactions on Graphics 35 (4) 125. (10.1145/2897824.2925930)
- Song, P. et al., 2016. CofiFab: coarse-to-fine fabrication of large 3D objects. ACM Transactions on Graphics 35 (4) 45. (10.1145/2897824.2925876)
- Tam, G. K. L. et al., 2014. Diffusion pruning for rapidly and robustly selecting global correspondences using local isometry. ACM Transactions on Graphics 33 (1) 4. (10.1145/2517967)
- Tam, G. K. L. et al., 2013. Registration of 3D point clouds and meshes: A survey from rigid to nonrigid. IEEE Transactions on Visualization and Computer Graphics 19 (7), pp.1199-1217. (10.1109/TVCG.2012.310)
- Wu, J. et al. 2013. Making bas-reliefs from photographs of human faces. Computer-Aided Design 45 (3), pp.671-682. (10.1016/j.cad.2012.11.002)
- Wang, H. et al., 2013. Harmonic Parameterization by Electrostatics. ACM Transactions on Graphics 32 (5) 155. (10.1145/2503177)
- Sun, X. et al. 2007. Fast and Effective Feature-Preserving Mesh Denoising. IEEE Transactions on Visualization and Computer Graphics 13 (5), pp.925-938. (10.1109/TVCG.2007.1065)
Events
Seminars from members and visitors are presented at the Visual computing research seminar series.
Next steps
Research that matters
Our research makes a difference to people’s lives as we work across disciplines to tackle major challenges facing society, the economy and our environment.
Postgraduate research
Our research degrees give the opportunity to investigate a specific topic in depth among field-leading researchers.
Our research impact
Our research case studies highlight some of the areas where we deliver positive research impact.